PMID- 26110098
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20150625
LR  - 20220729
IS  - 2229-5089 (Print)
IS  - 2153-3539 (Electronic)
VI  - 6
DP  - 2015
TI  - Comparative study between quantitative digital image analysis and fluorescence in 
      situ hybridization of breast cancer equivocal human epidermal growth factor 
      receptors 2 score 2(+) cases.
PG  - 31
LID - 10.4103/2153-3539.158066 [doi]
LID - 31
AB  - BACKGROUND: Optimization of workflow for breast cancer samples with equivocal 
      human epidermal growth factor receptors 2 (HER2)/neu score 2(+) results in 
      routine practice, remains to be a central focus of the on-going efforts to assess 
      HER2 status. According to the College of American Pathologists/American Society 
      of Clinical Oncology guidelines equivocal HER2/neu score 2(+) cases are subject 
      for further testing, usually by fluorescence in situ hybridization (FISH) 
      investigations. It still remains on open question, whether quantitative digital 
      image analysis of HER2 immunohistochemistry (IHC) stained slides can assist in 
      further refining the HER2 score 2(+). AIM OF THIS WORK: To assess utility of 
      quantitative digital analysis of IHC stained slides and compare its performance 
      to FISH in cases of breast cancer with equivocal HER2 score 2(+). MATERIALS AND 
      METHODS: Fifteen specimens (previously diagnosed as breast cancer and was 
      evaluated as HER 2(-) score 2(+)) represented the study population. Contemporary 
      new cuts were prepared for re-evaluation of HER2 immunohistochemical studies and 
      FISH examination. All the cases were digitally scanned by iScan (Produced by 
      BioImagene [Now Roche-Ventana]). The IHC signals of HER2 were measured using an 
      automated image analyzing system (MECES, www.Diagnomx.eu/meces). Finally, a 
      comparative study was done between the results of the FISH and the quantitative 
      analysis of the virtual slides. RESULTS: Three out of the 15 cases with equivocal 
      HER2 score 2(+), turned out to be positive (3(+)) by quantitative digital 
      analysis, and 12 were found to be negative in FISH too. Two of these three 
      positive cases proved to be positive with FISH, and only one was negative. 
      CONCLUSIONS: Quantitative digital analysis is highly sensitive and relatively 
      specific when compared to FISH in detecting HER2/neu overexpression. Therefore, 
      it represents a potential reliable substitute for FISH in breast cancer cases, 
      which desire further refinement of equivocal IHC results.
FAU - Ayad, Essam
AU  - Ayad E
AD  - Department of Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
FAU - Mansy, Mina
AU  - Mansy M
AD  - Department of Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
FAU - Elwi, Dalal
AU  - Elwi D
AD  - Department of Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
FAU - Salem, Mostafa
AU  - Salem M
AD  - Department of Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
FAU - Salama, Mohamed
AU  - Salama M
AD  - Department of Pathology, University of Utah and ARUP Reference Lab, Utah, USA.
FAU - Kayser, Klaus
AU  - Kayser K
AD  - Department of Pathology, Humbold University Berlin, Berlin, Germany.
LA  - eng
PT  - Journal Article
DEP - 20150603
PL  - United States
TA  - J Pathol Inform
JT  - Journal of pathology informatics
JID - 101528849
PMC - PMC4470009
OTO - NOTNLM
OT  - Breast cancer
OT  - fluorescence in situ hybridization
OT  - human epidermal growth factor receptors 2
OT  - quantitative digital image analysis
EDAT- 2015/06/26 06:00
MHDA- 2015/06/26 06:01
PMCR- 2015/01/01
CRDT- 2015/06/26 06:00
PHST- 2015/03/31 00:00 [received]
PHST- 2015/04/01 00:00 [accepted]
PHST- 2015/06/26 06:00 [entrez]
PHST- 2015/06/26 06:00 [pubmed]
PHST- 2015/06/26 06:01 [medline]
PHST- 2015/01/01 00:00 [pmc-release]
AID - S2153-3539(22)00486-2 [pii]
AID - JPI-6-31 [pii]
AID - 10.4103/2153-3539.158066 [doi]
PST - epublish
SO  - J Pathol Inform. 2015 Jun 3;6:31. doi: 10.4103/2153-3539.158066. eCollection 
      2015.